{"id":16320085,"url":"https://github.com/helenalc/muscdata","last_synced_at":"2025-05-14T07:12:29.751Z","repository":{"id":105098864,"uuid":"180803568","full_name":"HelenaLC/muscData","owner":"HelenaLC","description":"Multi-sample multi-group scRNA-seq datasets","archived":false,"fork":false,"pushed_at":"2020-03-12T14:13:37.000Z","size":39,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-17T01:29:44.737Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/HelenaLC.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-04-11T13:56:57.000Z","updated_at":"2021-03-18T18:45:15.000Z","dependencies_parsed_at":null,"dependency_job_id":"e8721762-87f9-474c-8839-002c30c7e92f","html_url":"https://github.com/HelenaLC/muscData","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HelenaLC%2FmuscData","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HelenaLC%2FmuscData/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HelenaLC%2FmuscData/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HelenaLC%2FmuscData/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HelenaLC","download_url":"https://codeload.github.com/HelenaLC/muscData/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254092836,"owners_count":22013294,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-10T22:29:03.646Z","updated_at":"2025-05-14T07:12:24.737Z","avatar_url":"https://github.com/HelenaLC.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# muscData\nMulti-sample multi-group scRNA-seq data\n\nThe `muscData` package is aimed at providing a set of publicly available single-cell RNA sequencing (scRNA-seq) datasets with complex experimental designs, i.e., datasets that contain multiple samples (e.g., individuals) measured across multiple experimental conditions (e.g., treatments), formatted into `SingleCellExperiment` (SCE) Bioconductor objects. All provided SCEs contain *unfiltered* raw counts, and any gene and cell metadata available from the original data source.\n\nCurrently available datasets:\n\n- `Kang18_8vs8`:  \n10x droplet-based scRNA-seq PBMC data from 8 Lupus patients before and after 6h-treatment with INF-beta [[source](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE96583), [reference](https://doi.org/10.1038/nbt.4042)]\n\n- `Sala19_2vs2`:  \n10x scRNA-seq data from chimeric mice embryos in which Tal1-knockout (KO) embryonic stem cells were injected into a wild-type (WT) blastocyst (2 samples per group) [[source](https://content.cruk.cam.ac.uk/jmlab/chimera_tal1_data), [reference](https://www.ncbi.nlm.nih.gov/pubmed/30787436)]\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhelenalc%2Fmuscdata","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhelenalc%2Fmuscdata","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhelenalc%2Fmuscdata/lists"}